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Online Tests
Statistics Ics Part 2 Online Test MCQs With Answers
Question # 1
A statistical hypothesis is an assertion or conjecture about the distribution of random variables
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one
two
one or more
three
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Question # 2
n = (A) + --------------------
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(B)
(α)
(β)
(A)
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Question # 3
Study of the population is called_______.
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Parameter
Error
Statistic
Census
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Question # 4
The _______ regression line always passes through (X̅, y̅).
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Opposite
Estimated
Estimates
Random
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Question # 5
In case of normal distribution the area to the left of the mean and area to the right of the mean is
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positive
negative
equal
unequal
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Question # 6
If population proportion (P) is unknown, the standard error of the sample proportion (p) can be estimated by the formula
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Question # 7
Commonly used input device is
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pen
keyboard
monitor
joystick
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Question # 8
A range of values within which the population parameter is expected:
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Confidence interval
Confidence coefficient
Confidence limits
Level of significance
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Question # 9
If we reject Ho when Ho is actually true then it is
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type - I error
type - II error
type - III error
type - IV error
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Question # 10
Methods of semi-averages gives an
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accurate result
objective result
authentic result
none of these
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Question # 11
The S.D of the sampling distribution of a statistics is called _______.
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Standard error
Serious error
Dispersion
Difference
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Question # 12
1 MB equals _________byes
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1,094,265
1,904,265
1,904,265
1,048.576
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Question # 13
The graph of time series is called:
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Histogram
Historigram
Straight line
Ogive
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Question # 14
The process of dividing the objects into two mutually exclusive classes is called_______
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Bichotomy
Trichotomy
Dichotomy
Multichotomy
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Question # 15
If 6Σd
2
/n(n
2
- 1) is zero, the value of r
s
is ________.
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0.5
1
-1
0
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Question # 16
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β
1
β
2
β
3
S
k
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Question # 17
In a normal distribution,_____= μ + 0.64745 σ
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Q
1
Q
3
μ
σ
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Question # 18
Suppose that the null hypothesis is true and it is rejected, is known as:
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α type-I error, and its probability is β
α type-I error, and its probability is α
α type-II error, and its probability is α
α type-II error, and its probability is β
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